(1) Institute of Computer Graphics, University of Rostock, Albert-Einstein-Str. 21, D-18059 Rostock, Germany;(2) Institute for Physics, University Potsdam, Am Neuen Palais 10, 14469 Potsdam, Germany
Abstract:
Summary Increasing amounts of large climate data require new analysis techniques. The area of data mining investigates new paradigms
and methods including factors like scalability, flexibility and problem abstraction for large data sets. The field of visual
data mining in particular offers valuable methods for analyzing large amounts of data intuitively. In this paper we describe
our approach of integrating cluster analysis and visualization methods for the exploration of climate data. We integrated
cluster algorithms, appropriate visualization techniques and sophisticated interaction paradigms into a general framework.